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davideverona / deep-crowd-counting_crowdnet

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"
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MAE Error achieved #4

Open darraghdog opened 7 years ago

darraghdog commented 7 years ago

Hi, I ran the code through and the best iteration was the model saved at 1000 (dcc_crowdnet_train_iter_1000.caffemodel)... Ground truth Avg: 1642.42 MAE: 812.687 I see David achieved similar error in the pynb on the repo, although a little lower (~700), which is probably due to different test data selected in the 20% test. The paper reported error of ~ 420 over 5 folds. Any idea what the gap may be ? Assuming there is a gap...

kharazi commented 6 years ago

@darraghdog I see a gap same you even with more iterations. Do you have found any solution or idea?

asif07hossain commented 6 years ago

Same here. No one is responding to this issues. But I am really confused about the cross-validation technique. what is really happening in the 5-fold cross validation technique in case of UCF_CC_50 dataset.